Hierarchical classification of normal, fatty and heterogeneous liver diseases from ultrasound images using serial and parallel feature fusion
Author:
Publisher
Elsevier BV
Subject
Biomedical Engineering
Reference28 articles.
1. Classification of liver diseases from ultrasound images using a hybrid kohonen SOM and LPND speckle reduction method;Suganya,2012
2. Quantitative grading using grey relational analysis on ultrasonographic images of a fatty liver;Içer;J Med Syst,2012
3. Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images;Kadah;IEEE Trans Med Imaging,1996
4. SVM-based characterization of liver ultrasound images using wavelet packet texture descriptors;Virmani;J Digit Imaging,2013
5. An improved method for liver diseases detection by ultrasound image analysis;Owjimehr;J Med Signals Sens,2015
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